Zdenek Zalud

Weather and climate and optimization of farm technologies at different input levels

Weather and climatic conditions are the most important production factors for agriculture. Farmers within any agroecosystem therefore try to adapt to these conditions as much as possible (Adger et al. 2005; Smit and Yunlong 1996). Farm technologies play a major role in this adaptation process in both the short and the long term. Farm technologies are optimized for different purposes such as maximizing food production or profit. There is an urgent need, however, for such aims to be directed to permit sustainability of food production at the local level, which can be based only on stable agroecosystems (Fig.10.1). This has to be the basic strategy Open image in new window Figure 10.1 The short and long term impact factors on farm management and its relation to resource management and sustainability of agricultural production for the long term as important resources for agricultural production such as water, land and soil resources are highly limited in our world. Moreover, these resources are also endangered in many regions by desertification and climate change.

Vulnerabilities and Adaptation Options of European Agriculture

Through a change in climatic conditions and variability, for example, certain extreme weather events (heat waves, droughts, etc.) are likely to occur more frequently in different spatial and time scales in future. Since agriculture is one the man’ activities more dependant on weather behaviour, the impact on risks of agricultural production is indeed one of the most important issues in climate change assessments. Therefore an early recognition of risks and implementation of adaptation strategies is crucial as anticipatory; precautionary adaptation is more effective and less costly than forced, last minute, emergency adaptation or retrofitting. Results of climate change impact and adaptation studies often show considerable different results, depending on the spatial scale of regionalisation. However, for a decision maker, only a high spatial resolution of related study results is useful as it can represent local conditions and its spatial variability much better. This paper is based on the findings of the ADAGIO project (adagio-eu.org), which was focused on regional studies in order to uncover regional specific problems. In this context a bottom-up approach was used beside the top-down one of using scientific studies, involving regional experts and farmers in the evaluation of potential regional vulnerabilities and adaptation options. Results show, for example, that production risks, such as increasing drought and heat, are reported for most European regions. However, the vulnerabilities in the different regions are very much influenced by characteristics of the dominating agroecosystems and prevailing socio-economic conditions.

Climate Change Impacts on Czech Agriculture

Chapter summarizes the major impacts of changing climatic conditions in the Czech agriculture. Specific case studies are performed for the whole country (arable land) and are processed through GIS in the spatial grid 500 x 500 m respectively 1 x 1 km if middle Europe is considered. Contribution presents the impacts of climate change on the production of two major field crops (winter wheat and spring barley) in the Czech Republic for different future time horizons (2030, 2050 and 2100). The yield study includes not only the effect of climatic conditions but also the fertilization effect of carbon dioxide. Study is completed by effects of rising temperatures on the spread of temperature-depending biotic factors (selected pests) and changes in agroclimatic conditions for field crops. The basic data which are needed and used are long-term database of the national meteorological service and agricultural organizations which was used for evaluation of growth models (e.g. CERES). Other used tools are models which allow describe the evolution of pests in new climate conditions (e.g. CLIMEX or ECAMON) and various meteorological indieces. Description of expected weather conditions are based on two emission scenarios, according to the IPCC (mostly SRES-A2 and -B1) and three GCM models (NCAR-PCM, ECHAM5 and HadCM3). Their open access monthly outputs are published for the individual time horizons (e.g. 2030, 2050 and 2100) and are prepared in the daily time step by stochastic weather generator. The impacts of climate change are determined by comparing the current and expected state observed phenomena.